[CFP] Semantic Statistics Workshop @ ISWC 2019 (deadline extended until July 10, 2019)

Apologies for cross-posting
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CFP: 7st International Workshop on Semantic Statistics (SemStats 2019)
co-located with the 27th International Semantic Web Conference (ISWC)
Auckland, New Zealand, October 26-30, 2019

http://semstats.org/2019/call-for-contributions

Deadlines:
- Contributions deadline: July 10, 2019, 23:59 Hawaii time (extended)
- Notifications to authors: July 24, 2019, 23:59 Hawaii time
- Camera-ready version: August 28, 2019, 23:59 Hawaii time

Objective/goals of the workshop:
The goal of this workshop is to explore and strengthen the relationship 
between the Semantic Web and statistical communities, to provide better 
access to the data and metadata held by statistical offices. It focuses 
on ways in which statisticians can use Semantic Web technologies and 
standards in order to formalize, publish, document and link their data 
and metadata, and also on how statistical methods can be applied on 
linked data. This is the seventh workshop in a series that started at 
the International Semantic Web Conference in 2013 (SemStats 2013) and 
run since every year at ISWC (2014, 2015, 2016, 2017 and 2018).

The statistical community shows more and more interest in the Semantic 
Web. In particular, initiatives have been launched to develop semantic 
vocabularies representing statistical classifications, discovery 
metadata, business models, etc. Tools have been created by statistical 
organizations to support the publication of dimensional data conforming 
to the Data Cube W3C Recommendation. But statisticians still see 
challenges in the Semantic Web: how can data and concepts be linked in a 
statistically rigorous fashion? How can we avoid fuzzy semantics leading 
to wrong analyses? How can we preserve data confidentiality? How can we 
use linked statistical data in machine learning models?

The workshop will also cover the question of how to apply statistical 
methods or treatments to linked data, and how to develop new methods and 
tools for this purpose. Except for visualization techniques and tools, 
this question is relatively unexplored, but the subject will obviously 
grow in importance in the near future.

The workshop will address topics related to statistics and linked data. 
This includes but is not limited to:
How to publish linked statistics?
  - What are the relevant vocabularies for publishing statistical data 
(including spatio-temporal data) and metadata (code lists and 
classifications, descriptive metadata, provenance and quality 
information, etc.)?
  - What are the existing tools? Can the usual statistical software 
packages (e.g. R, SAS, Stata) do the job?
  - How do we include linked data production and publication in the data 
lifecycle?
  - How do we establish, document and share best practices?
How to use linked data for statistics?
  - Where and how can we find statistics data: catalogues, dataset 
descriptions, discovery?
  - How do we assess data quality (collection methodology, traceability, 
lineage, etc.)?
  - How to perform data reconciliation, ontology matching and instance 
matching with statistical data?
  - How can we apply statistical processes on linked data: data 
analysis, descriptive statistics, estimation, correction?
  - How to build machine learning models with linked statistics data?
  - How to intuitively represent statistical linked data: visual 
analytics, results of data mining?
How to use statistical methods on IoT data streams?
  - How can statistical processes be applied to Sensor streaming data at 
runtime and how can the results of these processes be stored and accessed?
  - How can statistical and machine learning algorithms be used on time 
series data produced by IoT devices?

Submissions:
This workshop is aimed at an interdisciplinary audience of researchers 
and practitioners involved or interested in Statistics and the Semantic 
Web. All contributions must represent original and unpublished work that 
is not currently under review. Contributions will be evaluated according 
to their significance, originality, technical content, style, clarity, 
and relevance to the workshop.
A prize will be awarded to the best contribution of the workshop by the 
CASD.

* Full and Short articles (up to 12 and 6 pages)
The workshop will welcome long and short scientific articles related to 
the topics mentioned above. Long articles refer to mature research work, 
where ideas have been implemented and evaluated. Short articles refer to 
brave new ideas or position statements describing a vision for the 
Semantic Statistics community.
* Application and Demo articles (up to 6 pages)
The workshop calls for contributions more generally. This includes 
interactive demonstrations of applications, or useful and relevant 
software library and repository, described in short articles. All 
application and demo articles should include a link where readers can 
experiment with the live software. Additional pointers such as source 
code repository are also welcomed.

All contributions must be written in English and must be formatted 
according to the information for LNCS Authors (see 
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Please 
note that HTML+RDFa contributions are also welcome as long as the layout 
complies with the LNCS style. Authors are welcome to use dokielin, 
https://dokie.li/ or similar systems. Contributions are not anonymous. 
Please share your contributions through Easychair at 
http://www.easychair.org/conferences/?conf=semstats2019. All accepted 
articles will be archived in an electronic proceedings published by 
CEUR-WS.org.

Programme Committee (to be confirmed):
* Ghislain Auguste Atemezing, Mondeca
* Oscar Corcho, Universidad Politécnica de Madrid
* Cinzia Daraio, University of Rome "La Sapienza"
* Miguel Expósito Martín, Instituto Cántabro de Estadística
* Paul Hermans, ProXML
* Areti Karamanou, Univesity of Macedonia
* Laurent Lefort, Australian Bureau of Statistics
* Andrei Melis, Eau de Web
* Albert Meroño-Peñuela, VU University Amsterdam
* Jindrich Mynarz, MSD IT
* Bill Roberts, Swirrl IT Limited
* Hideaki Takeda, National Institute of Informatics

Organizing Committee:
* Sarven Capadisli, TIB Leibniz Information Centre for Science and 
Technology, Germany
* Franck Cotton, INSEE, France
* Armin Haller, ANU, Australia
* Evangelos Kalampokis, CERTH/ITI and University of Macedonia, Greece
* Raphaël Troncy, EURECOM, France

-- 
Raphaël Troncy
EURECOM, Campus SophiaTech
Data Science Department
450 route des Chappes, 06410 Biot, France.
e-mail: raphael.troncy@eurecom.fr & raphael.troncy@gmail.com
Tel: +33 (0)4 - 9300 8242
Fax: +33 (0)4 - 9000 8200
Web: http://www.eurecom.fr/~troncy/

Received on Tuesday, 2 July 2019 14:13:42 UTC